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» A Kernel Method for the Two-Sample Problem
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ICML
2007
IEEE
16 years 3 months ago
Uncovering shared structures in multiclass classification
This paper suggests a method for multiclass learning with many classes by simultaneously learning shared characteristics common to the classes, and predictors for the classes in t...
Yonatan Amit, Michael Fink 0002, Nathan Srebro, Sh...
148
Voted
CVPR
2005
IEEE
15 years 8 months ago
Nonlinear Face Recognition Based on Maximum Average Margin Criterion
This paper proposes a novel nonlinear discriminant analysis method named by Kernerlized Maximum Average Margin Criterion (KMAMC), which has combined the idea of Support Vector Mac...
Baochang Zhang, Xilin Chen, Shiguang Shan, Wen Gao
COLT
2003
Springer
15 years 7 months ago
Learning from Uncertain Data
The application of statistical methods to natural language processing has been remarkably successful over the past two decades. But, to deal with recent problems arising in this ï¬...
Mehryar Mohri
111
Voted
PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
15 years 9 months ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eï¬...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld
CAIP
2007
Springer
109views Image Analysis» more  CAIP 2007»
15 years 6 months ago
Hierarchical Classifiers for Detection of Fractures in X-Ray Images
Fracture of the bone is a very serious medical condition. In clinical practice, a tired radiologist has been found to miss fracture cases after looking through many images containi...
Joshua Congfu He, Wee Kheng Leow, Tet Sen Howe